公开(公告)号：US20240152548A1

公开(公告)日：2024-05-09

申请号：US18377900

申请日：2023-10-09

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Hyeon Mok KO ,  Hyung Rai OH ,  Hong Chul KIM ,  Silas JEON ,  In-Chul HWANG

IPC: G06F16/583 ,  G06F16/532 ,  G06F16/535 ,  G06F16/58 ,  G06F18/214 ,  G06N20/00

CPC classification number: G06F16/583 ,  G06F16/532 ,  G06F16/535 ,  G06F16/5854 ,  G06F16/5866 ,  G06F18/214 ,  G06N20/00

Abstract: The disclosure relates to an artificial intelligence (AI) system using a machine learning algorithm such as deep learning and the like, and an application thereof. In particular, there is provided a control method for an electronic apparatus for searching for an image, the method comprising displaying an image comprising at least one object, detecting a user input for selecting an object, recognizing an object displayed at a point at which the user input is detected and acquiring information regarding the recognized object by using a recognition model trained to acquire information regarding an object, displaying a list including the information regarding the object, and based on one piece of information being selected from the information regarding the object included in the list, providing a related image by searching for the related image based on the selected information.

公开(公告)号：US20210191971A1

公开(公告)日：2021-06-24

申请号：US16757826

申请日：2018-10-24

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Hyeon Mok KO ,  Hyung Rai OH ,  Hong Chul KIM ,  Silas JEON ,  In-Chul HWANG

IPC: G06F16/583 ,  G06F16/532 ,  G06K9/62 ,  G06F16/58 ,  G06F16/535 ,  G06N20/00

Abstract: The disclosure relates to an artificial intelligence (AI) system using a machine learning algorithm such as deep learning and the like, and an application thereof. In particular, there is provided a control method for an electronic apparatus for searching for an image, the method comprising displaying an image comprising at least one object, detecting a user input for selecting an object, recognizing an object displayed at a point at which the user input is detected and acquiring information regarding the recognized object by using a recognition model trained to acquire information regarding an object, displaying a list including the information regarding the object, and based on one piece of information being selected from the information regarding the object included in the list, providing a related image by searching for the related image based on the selected information.

公开(公告)号：US20220293102A1

公开(公告)日：2022-09-15

申请号：US17828216

申请日：2022-05-31

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Yeonho LEE ,  Kyenghun LEE ,  Saebom JANG ,  Silas JEON

IPC: G10L15/22 ,  G10L15/30

Abstract: An electronic apparatus and a control method thereof are provided. A method of controlling an electronic apparatus according to an embodiment of the disclosure includes: receiving input of a first utterance, identifying a first task for the first utterance based on the first utterance, providing a response to the first task based on a predetermined response pattern, receiving input of a second utterance, identifying a second task for the second utterance based on the second utterance, determining the degree of association between the first task and the second task, and setting a response pattern for the first task based on the second task based on the determined degree of association satisfying a predetermined condition. The control method of an electronic apparatus may use an artificial intelligence model trained according to at least one of machine learning, a neural network, or a deep learning algorithm.

公开(公告)号：US20200234085A1

公开(公告)日：2020-07-23

申请号：US16648456

申请日：2018-09-11

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Silas JEON

IPC: G06K9/62 ,  G06N20/00 ,  G06N3/08

Abstract: Various embodiments of the present disclosure relate to an electronic device and a feedback information acquisition method therefor. The feedback information acquisition method of the electronic device includes: acquiring input feedback information of a user and first response information of the user, which are related to a specific function; training a feedback estimation model by using the input feedback information and the first response information; acquiring second response information of the user related to the specific function; and acquiring feedback information related to the specific function by applying the second response information to the trained feedback estimation model.